Server scheduling method and device, and server

A server and node server technology, applied in the field of big data, can solve problems such as unreasonable server scheduling and affecting the processing efficiency of system tasks, and achieve the effect of improving processing efficiency

Pending Publication Date: 2021-01-01
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This specification provides a server scheduling method, device, and server to solve the technical problems of unreasonable server scheduling in the existing methods and affect the overall job task processing efficiency of the system, so as to achieve full and effective use of node servers. Process resources, accurately schedule node servers to process corresponding job tasks, and improve the overall job task processing efficiency of the system.

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  • Server scheduling method and device, and server
  • Server scheduling method and device, and server
  • Server scheduling method and device, and server

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Embodiment Construction

[0056] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0057] Considering that the existing server scheduling method often schedules node servers to process job tasks according to relatively fixed scheduling rules, it does not take into account the specific characteristics of the job tasks to be processed and the specific status of the node servers, and cannot make full and effective use of nodes. The processing re...

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Abstract

The invention provides a server scheduling method and device, and a server. In the field of big data, while a to-be-processed target operation task is obtained from a public task queue based on a server scheduling method, attribute information of the target operation task and current state parameters of a plurality of node servers are further obtained; further, according to the attribute information of the target operation task and the current state parameters of the plurality of node servers, a resource adaptation value of each node server about the target operation task is determined by utilizing a preset resource preemptive algorithm; a matched node server is screened out from a plurality of node servers as a target node server suitable for processing a target operation task according to the resource adaptation values; and the target operation task is sent to a target node server for processing. Therefore, the processing resources of the node servers can be fully and effectively utilized, the proper node servers are accurately scheduled to process the operation tasks, and the overall operation task processing efficiency of the system is improved.

Description

technical field [0001] This specification belongs to the technical field of big data, and in particular relates to a server scheduling method, device and server. Background technique [0002] In big data processing scenarios such as bank transaction data processing, data processing of a large amount of data is often involved, and the system server is faced with a huge amount of data to be processed every day. [0003] Usually, the system server will schedule node servers to process specific job tasks according to some fixed scheduling rules. However, based on the existing scheduling methods, there are often technical problems that server scheduling is unreasonable and affects the overall job task processing efficiency of the system. Moreover, based on the existing methods, under the premise of requiring better scheduling costs, there is also a lack of complete solutions for solving the above job scheduling problems. [0004] For the above problems, no effective solution ha...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F9/54G06F9/48
CPCG06F9/5038G06F9/546G06F9/4837G06F9/4881Y02D10/00
Inventor 王伟王备李湘玲唐一帆
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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